@inproceedings{TrostClausHerrmann, author = {Trost, Marco and Claus, Thorsten and Herrmann, Frank}, title = {Employment of temporary workers and use of overtime to achieve volume flexibility using master production scheduling: monetary and social implications}, series = {Proceedings of the 35th ECMS International Conference on Modelling and Simulation (ECMS 2021): May 31st-June 2nd, 2021, United Kingdom}, booktitle = {Proceedings of the 35th ECMS International Conference on Modelling and Simulation (ECMS 2021): May 31st-June 2nd, 2021, United Kingdom}, editor = {Al-Begain, Khalid}, isbn = {978-3-937436-72-2}, doi = {10.7148/2021-0213}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-24906}, abstract = {Flexibility and in particular volume flexibility is an important topic for industrial manufacturing companies. In this context, the harmonization of the available and required capacity is a central task, especially with increasing fluctuations in customer demand. In classical approaches , this is considered only by the use of additional capacities and there are only a few approaches that combine aspects of personnel planning with production planning. Therefore, this article presents a linear optimization model for master production scheduling that includes aspects of personnel requirements planning. It is used to investigate different strategies for the use of overtime and temporary workers in order to achieve different levels of volume flexibility. With regard to the monetary and social impacts, the results indicate that overtime has a stronger influence to achieve volume flexibility than the use of temporary workers. However, both are affected by substantial deficits in human working conditions. But the results also imply a promising potential for improving the social aspects without a significant increase in costs.}, language = {en} } @inproceedings{TrostClausHerrmann, author = {Trost, Marco and Claus, Thorsten and Herrmann, Frank}, title = {Influence of Company Sizes in adapted Master Production Scheduling for Improving Human Working Conditions}, series = {Proceedings of the 34th International ECMS Conference on Modelling and Simulation, ECMS 2020}, booktitle = {Proceedings of the 34th International ECMS Conference on Modelling and Simulation, ECMS 2020}, editor = {Steglich, Mike}, publisher = {European Council for Modelling and Simulation}, isbn = {978-3-937436-68-5}, doi = {10.7148/2020-0287}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-24817}, pages = {287 -- 293}, abstract = {Sustainability is an important topic in production plan-ning and control. This article contributes in particular the to further research on the social dimension. It pre-sents a linear optimisation model for Master Produc-tion Scheduling in order to improve human working conditions. Existing approaches have already identified a considerable potential for improvements. Further-more, this article analyses the influence of the compa-ny size on workload and costs using an application with a high proportion of manual activities. It is demonstrat-ed that human working conditions can be improved independently from the company size without increas-ing costs. In addition, smaller companies tend to have a higher exhaustion and the workload affects the total costs more in smaller companies. Therefore, smaller companies might benefit more from an improvement in human working conditions.}, language = {en} } @inproceedings{TerbrackHerrmannClaus, author = {Terbrack, Hajo and Herrmann, Frank and Claus, Thorsten}, title = {Deviation in Energy Consumption on Aggregate Production Planning Level in Industry Practice}, series = {Proceedings of the 34th International ECMS Conference on Modelling and Simulation (ECMS 2020)}, booktitle = {Proceedings of the 34th International ECMS Conference on Modelling and Simulation (ECMS 2020)}, editor = {Steglich, Mike}, isbn = {978-3-937436-68-5}, doi = {10.7148/2020-0334}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-24804}, pages = {334 -- 340}, abstract = {In this article, we discuss energy consumption of producing firms on aggregate production planning. While almost constant energy consumption can be the case for a producing firm, highly fluctuating energy demand can occur as well. Together with volatile energy supply, e.g. due to renewable energy sources, this combination of fluctuating energy supply and demand can result in planning uncertainty and high energy costs. We propose different case studies in which such high deviation in the electricity consumption of a producing firm occurs due to aggregate production planning without appropriate consideration of energy consumption.}, language = {en} } @article{TerbrackFrankHerrmannetal., author = {Terbrack, Hajo and Frank, Ingo and Herrmann, Frank and Claus, Thorsten and Trost, Marco and G{\"o}tz, Matthias}, title = {A literature database on ecological sustainability in hierarchical production planning}, series = {Anwendungen und Konzepte der Wirtschaftsinformatik}, journal = {Anwendungen und Konzepte der Wirtschaftsinformatik}, number = {12}, publisher = {AKWI}, issn = {2296-4592}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-23539}, pages = {36 -- 40}, abstract = {This article describes a systematic literature search of research articles on the topics of ecological sustainability and production planning. Over 900 research articles deal intensively with these topics. These articles were catalogued and included in a database. They can be evaluated with an analysis tool, developed by the research group. The tool is available free of charge via a website of the research group.}, language = {en} } @inproceedings{SelmairHanfeldClausetal., author = {Selmair, Maximilian and Hanfeld, Marc and Claus, Thorsten and Herrmann, Frank}, title = {Exploring Opportunities}, series = {Simulation Notes Europe (SNE), Special Issue: Simulation in Production and Logistics: Impact of Energetic Factors}, volume = {27}, booktitle = {Simulation Notes Europe (SNE), Special Issue: Simulation in Production and Logistics: Impact of Energetic Factors}, number = {2}, doi = {10.11128/sne.27.tn.10375}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-2007}, pages = {97 -- 103}, abstract = {Motivated by the increasing share of renewable energy in the markets for energy commodities, this study has evaluated the potential for optimizing production planning by taking into account disposable options for procuring energy, in this case electricity. For this purpose, a material flow simulation study extended by an electricity price simulation has been executed to examine possible cost scenarios. Our findings support the notion of a potential for further research in new optimization models involving energy procurement as well as energy trading options}, subject = {Materialflussplanung}, language = {en} } @inproceedings{EnglbergerHerrmannClaus, author = {Englberger, Julian and Herrmann, Frank and Claus, Thorsten}, title = {Simulation-based determination of capacity load factors for master production scheduling}, series = {Proceedings of the 15th International Conference on Simulation in Production and Logistics, October 9 - 11, 2013, Paderborn, Germany}, booktitle = {Proceedings of the 15th International Conference on Simulation in Production and Logistics, October 9 - 11, 2013, Paderborn, Germany}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-2610}, pages = {631 -- 640}, abstract = {This paper deals with the problem of varying capacity load factors in master production scheduling. A simulation system of a production planning and control system and of a production system is described and an approach to compute the capacity loads from the simulation results is developed. This approach is used to measure period-specific capacity load factors for master production scheduling. The measured capacity load factors vary over time and show that the common assumption of the load factors being period-independent is inappropriate. A stochastic programming model to cope with this variation is described. This model is compared to a common linear programming model for master production scheduling in a simulation experiment. The results show that the use of the measured capacity load factor scenarios improves the quality of the estimation of the capacity load factors significantly.}, subject = {PPS}, language = {en} } @inproceedings{LangeHerrmannClaus, author = {Lange, Frederick and Herrmann, Frank and Claus, Thorsten}, title = {Simulation based clearing functions for a model of order release planning}, series = {Proceedings of the 27th EUROPEAN Conference on Modeling and Simulation, May 27th - 30th, 2013, {\AA}lesund, Norway}, booktitle = {Proceedings of the 27th EUROPEAN Conference on Modeling and Simulation, May 27th - 30th, 2013, {\AA}lesund, Norway}, doi = {10.7148/2013-0741}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-2205}, pages = {741 -- 747}, abstract = {In capacitated production systems at high utilization there exists a nonlinear relationship between the orders which are in process and the output. This nonlinear relationship can be described by nonlinear Clearing Functions. We show how a Clearing function will be estimated and integrate it into a model of order releases planning. We compare our model with two inventory management policies under different demand conditions.}, subject = {Auftragsabwicklung}, language = {en} }